EDA

Row

Density Plot for Gender

Gender wise Distribution

Row

Age wise Density Plot

Age wise boxplot

Row

Education

Heat Map for Education - Age

Row

Marital Status wise Distribution

Correlation Plot

Correlation Plot

LR Prediction Stats

Confusion Matrix for Logistic Regression

                
logistic_default    0    1
               0 4500 1013
               1  145  319

Accuracy

[1] 0.8062573

Row

AUC Curve for Logistic Regression

Row

AUC value

Area under the curve: 0.7244

RF Prediction Stats

Confusion Matrix for Random Forest

Confusion Matrix and Statistics

           actual
predictions    0    1
          0 4398  836
          1  247  496
                                          
               Accuracy : 0.8188          
                 95% CI : (0.8088, 0.8285)
    No Information Rate : 0.7771          
    P-Value [Acc > NIR] : 1.291e-15       
                                          
                  Kappa : 0.379           
                                          
 Mcnemar's Test P-Value : < 2.2e-16       
                                          
              Precision : 0.66756         
                 Recall : 0.37237         
                     F1 : 0.47807         
             Prevalence : 0.22285         
         Detection Rate : 0.08298         
   Detection Prevalence : 0.12431         
      Balanced Accuracy : 0.65960         
                                          
       'Positive' Class : 1               
                                          

Row

AUC Curve for Random Forest

Summary

Column

Report

  • The accuracy for Logistic Regression Model is 0.8062573.

  • The accuracy for Random Forest Model is 0.8179689.

This report was generated on February 16, 2020.

Predicted Results

About Report

Created by: Vignesh EA

Confidential: Nothing like that!